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ALIAKSANDR BUIKO

@Alex

Independent systems engineer and AI safety researcher. Specializing in bare-metal inference optimization, hardware-level runtime auditing, and reducing catastrophic logic drift in quantized LLMs.

https://www.linkedin.com/in/alex-buiko-8b3a763a5/
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About Me

I am an independent technical auditor and infrastructure engineer focused on the intersection of hardware performance and model safety. My work centers on building non-invasive monitoring frameworks that ensure LLM sequence integrity in production environments.

I operate with a focus on:

* Hardware-aware inference validation (4-16-bit quantization).

* Identifying and mitigating "Dead Compute" and hallucination cascades.

* Low-level NVML auditing and runtime thermal profiling.

I advocate for open-access research and transparent benchmarking to establish safety standards for next-generation inference pipelines. Dedicated to solving systemic reliability issues through engineering rigor rather than heuristic patching.

Projects

Early Exit & Inference Rewind in 4-16-bit LLMs

pending admin approval